Hi Chen, Yes, this is possible. Have a look at the configuration of idle state retention time [1].
Best, Fabian [1] https://ci.apache.org/projects/flink/flink-docs-release-1.6/dev/table/streaming.html#idle-state-retention-time 2018-09-17 20:10 GMT+02:00 burgesschen <tchen...@bloomberg.net>: > Hi everyone, > I'm trying out the SQL API in flink 1.6 > I first convert a data stream to a table (let's call it tableA) using > tableEnv.registerDataStream, then perform queries on tableA and finally > convert the result to a retract stream. > > My question is: Is there a way to clean up/ remove records/expire records > in > tableA, by some criteria, most importantly, by TTL? Currently the table is > ever increasing. > > Best, > > Chen > > > > -- > Sent from: http://apache-flink-user-mailing-list-archive.2336050. > n4.nabble.com/ >